Health care analytics and big data management in influenza vaccination programs: Use of information-entropy approach

Sharon Hovav; Hanan Tell; Eugene Levner; Alexander Ptuskin; Avi Herbon

doi:https://doi.org/10.1201/9781315161501

Health care analytics and big data management in influenza vaccination programs: Use of information-entropy approach

Sharon Hovav, Hanan Tell, Eugene Levner, Alexander Ptuskin, Avi Herbon

Department of Management

Bar-Ilan University

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

Abstract

Influenza is a highly contagious airborne viral infection. Seasonal influenza epidemics cause up to 500,000 deaths per year worldwide and impose great economic losses as a result of health care costs and lost productivity (Chick et al. 2008). Billions of dollars are spent annually for influenza vaccination in an attempt to avoid even greater losses. The current work proposes an analytics-driven6 research approach for enhancing the efficiency of influenza vaccination programs, using supply chain (SC) concepts and techniques. We seek to minimize the total cost of the vaccination supply chain (VSC) while upholding the individual interests of its stakeholders with their risks being taking into account.

Original language	English
Title of host publication	The Analytics Process
Subtitle of host publication	Strategic and Tactical Steps
Pages	211-237
Number of pages	27
ISBN (Electronic)	9781351975643
DOIs	https://doi.org/10.1201/9781315161501
State	Published - 1 Jan 2017

All Science Journal Classification (ASJC) codes

General Computer Science

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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https://doi.org/10.1201/9781315161501

Cite this

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AU - Herbon, Avi

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AB - Influenza is a highly contagious airborne viral infection. Seasonal influenza epidemics cause up to 500,000 deaths per year worldwide and impose great economic losses as a result of health care costs and lost productivity (Chick et al. 2008). Billions of dollars are spent annually for influenza vaccination in an attempt to avoid even greater losses. The current work proposes an analytics-driven6 research approach for enhancing the efficiency of influenza vaccination programs, using supply chain (SC) concepts and techniques. We seek to minimize the total cost of the vaccination supply chain (VSC) while upholding the individual interests of its stakeholders with their risks being taking into account.

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Health care analytics and big data management in influenza vaccination programs: Use of information-entropy approach

Abstract

All Science Journal Classification (ASJC) codes

UN SDGs

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